return
		}

		if db.Statement.Schema != nil {
			for _, c := range db.Statement.Schema.DeleteClauses {
				db.Statement.AddClause(c)
			}
		}

		if db.Statement.SQL.Len() == 0 {
			db.Statement.SQL.Grow(100)
			db.Statement.AddClauseIfNotExists(clause.Delete{})

			if db.Statement.Schema != nil {

}

// ParseUniqueConstraints parse schema unique constraints
func (schema *Schema) ParseUniqueConstraints() map[string]UniqueConstraint {
	uniques := make(map[string]UniqueConstraint)
	for _, field := range schema.Fields {
		if field.Unique {
			name := schema.namer.UniqueName(schema.Table, field.DBName)
			uniques[name] = UniqueConstraint{Name: name, Field: field}
		}
	}

				case reflect.Slice:
					queryFields = db.Statement.ReflectValue.Type().Elem() != db.Statement.Schema.ModelType
				}
			}

			if queryFields {
				stmt := gorm.Statement{DB: db}
				// smaller struct
				if err := stmt.Parse(db.Statement.Dest); err == nil && (db.QueryFields || stmt.Schema.ModelType != db.Statement.Schema.ModelType) {

	}

	checkUserSchema(t, user)
}

func checkUserSchema(t *testing.T, user *schema.Schema) {
	// check schema
	checkSchema(t, user, &schema.Schema{Name: "User", Table: "users"}, []string{"ID"})

	// check fields
	fields := []schema.Field{

			Fields: []schema.IndexOption{{
				Field: &schema.Field{Name: "Data1A"},
			}, {
				Field: &schema.Field{Name: "Data1B"},
			}, {
				Field: &schema.Field{Name: "Data1C"},
			}},
		},
		{
			Name:  "idx_user_indices_comp_id2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{{
				Field: &schema.Field{Name: "Data2C"},
			}, {
				Field: &schema.Field{Name: "Data2A"},
			}, {

					for _, field := range stmt.Schema.PrimaryFields {
						_, isZero = field.ValueOf(stmt.Context, stmt.ReflectValue.Index(i))
						if !isZero {
							break
						}
					}
				}

				if !isZero {
					_, primaryValues := schema.GetIdentityFieldValuesMap(stmt.Context, stmt.ReflectValue, stmt.Schema.PrimaryFields)
					column, values := schema.ToQueryValues("", stmt.Schema.PrimaryFieldDBNames, primaryValues)

		Name2 string `gorm:"uniqueIndex"`
	}

	user, err := schema.Parse(&UserUnique{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse user unique, got error %v", err)
	}
	constraints := user.ParseUniqueConstraints()

	results := map[string]schema.UniqueConstraint{
		"uni_user_uniques_name1": {
			Name:  "uni_user_uniques_name1",
			Field: &schema.Field{Name: "Name1", Unique: true},
		},
	}

package callbacks

import (
	"fmt"
	"reflect"
	"sort"
	"strings"

	"gorm.io/gorm"
	"gorm.io/gorm/clause"
	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils"
)

// parsePreloadMap extracts nested preloads. e.g.
//
//	// schema has a "k0" relation and a "k7.k8" embedded relation
//	parsePreloadMap(schema, map[string][]interface{}{
//		clause.Associations: {"arg1"},
//		"k1":                {"arg2"},
//		"k2.k3":             {"arg3"},

	Priority   int
}

// ParseIndexes parse schema indexes
func (schema *Schema) ParseIndexes() []*Index {
	indexesByName := map[string]*Index{}
	indexes := []*Index{}

	for _, field := range schema.Fields {
		if field.TagSettings["INDEX"] != "" || field.TagSettings["UNIQUEINDEX"] != "" {
			fieldIndexes, err := parseFieldIndexes(field)
			if err != nil {
				schema.err = err
				break
			}

Ainsi, vous pouvez ajouter des données supplémentaires au schéma généré automatiquement.

Par exemple, vous pouvez décider de lire et de valider la requête avec votre propre code, sans utiliser les fonctionnalités automatiques de validation proposée par Pydantic, mais vous pouvez toujours définir la requête dans le schéma OpenAPI.

Vous pouvez le faire avec `openapi_extra` :